Submitted Jun 10, 2017

Multi-channel conversational chatbot platform powered by NLP engine

Section: Crisp talk for data engineering track Technical level: Beginner

In this talk, the speaker would talk about a chat engine/ platform to enable human to machine interaction on multiple channels (web, slack, hipchat, etc) including social like facebook across text and voice. A user can seamlessly move across channel without losing the chat context and the conversation. Also, this talk will give insights to the NLP engine that powers this platform.

Outline

Multi-channel chatbot platform overview
Conversational chatbot and the underlying NLP/ AI engine for context and content analysis, entity identification, sentiment analysis, semantic analysis and classification and more
Switch channel with seamless transition of context and conversation
Handle conditions not modelled – route to live agent with context and conversation.

Speaker bio

Prakash has 15+ years experience in IT industry architecting and building complex enterprise solutions across few industries. Check it out on linkedin.
https://www.linkedin.com/in/prakashmall/

Comments

Up next

Building camera based intelligent applications

Camera based intelligent applications are lot of fun! There are many practical applications of it like Industrial Counters, Real Time Object Tracking, Object Classification, Road Traffic Estimation etc. While they are fun and interesting, building them is not that trivial. Generally, building camera based intelligent applications require many modules in the pipelines and a data scientist may not be aware of those. It involves managing hardware, machine learning, a dashboard for user interaction and data visualization and most importantly a way to glue them all together. Taking care of all these requires a considerable amount of time to deploy an application.

Jun 10, 2017

The Fifth Elephant 2017